365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science concepts, and specializations. There are no prerequisites required to enroll. The curriculum is designed for beginners. 

In the first module, students learn data science fundamentals, such as advanced Excel, Tableau, and Power BI as well as fundamentals of probability and statistics. In the second module, students learn programming for data science, how to work with relational databases, use essential SQL queries to preprocess data, code in Python, and leverage popular Python libraries, like NumPy and Matplotlib. Students will also learn the best ways to manipulate and visualize data in R. The third module teaches students the concepts of machine learning and deep learning, and students begin applying advanced statistical methods for predictive analytics. Within the third module, students use sklearn to build complete linear and logistic regression models from scratch, and cluster unlabeled datasets with k-means. Students will progress to building deep learning models with the Keras library in TensorFlow 2. In module four, students choose to specialize their data science skill set to meet the needs of different industries, such as finance or banking. Students can choose any (or all) of the specialization exercises, which include Credit Risk Modeling in Python, Time Series Analysis in Python, and Customer Analytics in Python. 

To enroll, students pay a monthly fee. 365 Data Science hosts an annual Data Science scholarship competition. 365 Data Science offers career services to students, such as portfolio advice and resume feedback. Students receive course-specific certificates upon completion. Students that complete the entire program receive a personal, verifiable certificate of completion.